OnePlus CPH2707
Geekbench AI Score
2050
Single Precision Score
2021
Half Precision Score
3421
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 11:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2707 |
| Model ID | OnePlus CPH2707 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
100% |
2760
513.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3077
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3153
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
6804
8.07 IPS |
|
|
Object Detection (SP)
|
98% |
1387
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1406
111.9 IPS |
|
|
Object Detection (Q)
|
83% |
2330
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
5894
70.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3172
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2999
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5214
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7838
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7836
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14720
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3876
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
708
945.0 IPS |
|
|
Text Classification (HP)
|
99% |
708
944.8 IPS |
|
|
Text Classification (Q)
|
88% |
1132
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
823
29.2 IPS |
